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Showing 1 - 20 results of 127 for search '(((( based mapping algorithm ) OR ( deep clustering algorithm ))) OR ( relevant data algorithm ))', query time: 0.12s Refine Results
  1. 1
    Stochastic evolution algorithm for technology mapping

    Stochastic evolution algorithm for technology mapping by Al-Mulhem, A.S.

    Published 1998
    “…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …”
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  2. 2
    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT

    A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT by Dhananjay Bisen (19482454)

    Published 2023
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  3. 3
    Semantic based navigation and lane keeping

    Semantic based navigation and lane keeping by Abdeen, Abdallah Adel

    Published 2023
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  4. 4
    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition

    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition by Dabeeruddin Syed (16864260)

    Published 2021
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  5. 5
    Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees

    Multi-Robot Map Exploration Based on Multiple Rapidly-Exploring Randomized Trees by Umari, Hassan Abdul-Rahman

    Published 2017
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  6. 6
    Physical optimization algorithms for mapping data to distributed-memory multiprocessors

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…The technique proposed for large problems is based on a pre-mapping graph contraction heuristic algorithm, which results in a smaller search space. …”
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  7. 7
    Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks

    Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks by S. N. V. Bramareswara Rao (21768302)

    Published 2024
    “…Due to their reliance on sizable fault currents, classic fault detection techniques are no longer suitable for microgrids that employ inverter-interfaced distributed generation. Nowadays, deep learning algorithms are essential for ensuring the reliable, safe, and efficient operation of these complex energy systems. …”
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  8. 8
    Map-based mobile positioning system

    Map-based mobile positioning system by Saab, S. S.

    Published 2002
    “…In this paper, a mobile positioning system (MPS) is proposed based on a map-matching algorithm. Using the triangulation or a trilateration technique, the Cell of Origin, Time of Arrival, and Time Difference of Arrival, the mobile is first located within a specified area of about 500x500 squared meters in a GSM network and within a specified area of about 244x244 squared meters in an IS-95 network. …”
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  9. 9
    A Survey of Data Clustering Techniques

    A Survey of Data Clustering Techniques by Sobeh, Salma

    Published 2023
    “…This survey examines seven widely recognized clustering techniques, namely k-means, G-means, DBSCAN, Agglomerative hierarchical clustering, Two-stage density (DBSCAN and k-means) algorithm, Two-levels (DBSCAN and hierarchical) clustering algorithm, and Two-stage MeanShift and K-means clustering algorithm and compares them over a real dataset - The Blockchain dataset, including prominent cryptocurrencies like Binance, Bitcoin, Doge, and Ethereum, under several metrics such as silhouette coefficient, Calinski-Harabasz, Davies-Bouldin Index, time complexity, and entropy.…”
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  10. 10
    A comparison of data mapping algorithms for parallel iterative PDE solvers

    A comparison of data mapping algorithms for parallel iterative PDE solvers by Mansour, Nashat

    Published 1995
    “…Based on the comparison results, we recommend the use of the simplest and fastest (PQ) of the six algorithms considered for sequential compile-time mapping of 2-dimensional meshes.…”
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  11. 11
    Semi-supervised Clustering of Facial Expressions

    Semi-supervised Clustering of Facial Expressions by Jalal, Ahsan

    Published 2017
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  12. 12
    Map-based land vehicle navigation system with DGPS

    Map-based land vehicle navigation system with DGPS by Saab, Samer S.

    Published 2003
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  13. 13
    Indoor Localization Based on Floor Plans and Power Maps

    Indoor Localization Based on Floor Plans and Power Maps by Khalifeh, Joe J.

    Published 2015
    “…An indoor localization algorithm that is based on fingerprinting and trilateration is developed. …”
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  14. 14
    Variable Selection in Data Analysis: A Synthetic Data Toolkit

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 2024
    “…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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  15. 15
    RRT and Octomap based 3D environment exploration and mapping

    RRT and Octomap based 3D environment exploration and mapping by Koirala, Koshish

    Published 2020
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  16. 16
    ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification

    ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification by Md. Iqbal Hossain (723299)

    Published 2024
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  17. 17
    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation

    How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation by Joni Salminen (7434770)

    Published 2023
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  18. 18
    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data

    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

    Published 2024
    “…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …”
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  19. 19
    Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review

    Artificial Intelligence for the Prediction and Early Diagnosis of Pancreatic Cancer: Scoping Review by Zainab Jan (17306614)

    Published 2023
    “…Deep learning models were the most prominent branch of AI used for pancreatic cancer diagnosis in the studies, and the convolutional neural network was the most used algorithm (18/30, 60%). …”
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  20. 20
    Multi-marker-LD based genetic algorithm for tag SNP selection

    Multi-marker-LD based genetic algorithm for tag SNP selection by Mansour, Nashat

    Published 2014
    “…The performance of the three algorithms are compared with those of a recognized tag SNP selection algorithm using three different real data sets from the HapMap project. …”
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